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Neural Monitoring Jobs (NOW HIRING)

Piramidal, Inc.

Senior Product Manager

New York, NY

$138.40K - $182.70K/yr

Senior Product Manager Piramidal is looking for a product manager to own the roadmap and execution of our real-time neural monitoring platform. You'll be responsible for translating what clinicians ...

Mythic

AI Algorithms/Software Engineer

$99.80K - $136.60K/yr

The AI Algorithms/Software Engineer will optimize software toolchains, design algorithms for neural ... deployment, and monitoring. • Experience owning critical APIs with a large user base. • ...

Mythic

AI Algorithms/Software Engineer

$99.80K - $136.60K/yr

The AI Algorithms/Software Engineer will optimize software toolchains, design algorithms for neural ... deployment, and monitoring. • Experience owning critical APIs with a large user base. • ...

Mythic

AI Algorithms/Software Engineer

Palo Alto, CA · Remote

$99.80K - $136.60K/yr

Builds software pipelines that adapt neural networks (such as Hugging Face, Ultralytics, or custom ... deployment, and monitoring. * Experience owning critical APIs with a large user base.

Mythic

AI Algorithms/Software Engineer

Austin, TX · On-site

$96.60K - $132.30K/yr

Builds software pipelines that adapt neural networks (such as Hugging Face, Ultralytics, or custom ... deployment, and monitoring. * Experience owning critical APIs with a large user base.

Mythic

AI Algorithms/Software Engineer

Palo Alto, CA

$114.60K - $156.90K/yr

Builds software pipelines that adapt neural networks (such as Hugging Face, Ultralytics, or custom ... deployment, and monitoring. * Experience owning critical APIs with a large user base.

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How much do neural monitoring jobs pay per hour?

As of May 29, 2026, the average hourly pay for neural monitoring in the United States is $38.70, according to ZipRecruiter salary data. Most workers in this role earn between $38.22 and $39.18 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Neural Monitoring Specialist, and why are they important?

To thrive as a Neural Monitoring Specialist, a strong background in neurophysiology, anatomy, and electrophysiology is required, typically supported by a relevant degree and CNIM certification. Expertise in intraoperative neurophysiological monitoring (IONM) equipment, data analysis software, and surgical navigation systems is essential. Excellent attention to detail, communication skills, and the ability to remain calm under pressure help specialists collaborate effectively with surgical teams and respond quickly to changes. These skills ensure patient safety and optimal surgical outcomes by providing real-time neural function feedback during complex procedures.

What are some typical challenges faced by professionals in Neural Monitoring during surgical procedures?

One of the main challenges in Neural Monitoring is maintaining clear communication with the surgical team to ensure real-time interpretation of neurophysiological data. Professionals must also adapt quickly to unexpected changes in patient responses and troubleshoot complex equipment under time-sensitive conditions. Balancing the need for timely alerts with avoiding unnecessary interruptions requires both technical expertise and strong interpersonal skills. Additionally, working in high-stakes environments means attention to detail and the ability to remain calm under pressure are essential.

What is neural monitoring?

Neural monitoring, also known as intraoperative neurophysiological monitoring (IONM), is a technique used during surgeries to assess the functional integrity of the nervous system in real time. It involves monitoring electrical signals from the brain, spinal cord, and peripheral nerves to help prevent potential neurological injuries during operations. Specialists use various electrodes and recording devices to track neural activity, alerting the surgical team of any changes that could indicate risk. This allows surgeons to make informed decisions and improve patient safety. Neural monitoring is commonly used in spinal, brain, and some vascular surgeries.

What is the difference between Neural Monitoring vs Neurodiagnostic Technologist?

AspectNeural MonitoringNeurodiagnostic Technologist
Required CredentialsNeural Monitoring certification, EEG, or neurophysiology trainingRegistered EEG technologist, neurodiagnostic certification
Work EnvironmentHospitals, surgical suites, neuro ICUHospitals, clinics, outpatient labs
Industry UsageNeurosurgery, intraoperative monitoringNeurology, sleep studies, diagnostics

Neural Monitoring specialists focus on intraoperative neurophysiological monitoring during surgeries, requiring specialized certifications. Neurodiagnostic Technologists perform EEGs and other neurodiagnostic tests primarily for diagnostics. While both roles involve neurophysiological skills, Neural Monitoring is more specialized in surgical settings, whereas Neurodiagnostic Technologists work in diagnostic labs and outpatient environments.

More about Neural Monitoring jobs
What are the most commonly searched types of Neural Monitoring jobs? The most popular types of Neural Monitoring jobs are:
What job categories do people searching Neural Monitoring jobs look for? The top searched job categories for Neural Monitoring jobs are:
Neural Monitoring jobs near you
Infographic showing various Neural Monitoring job openings in the United States as of May 2026, with employment types broken down into 5% Full Time, 61% Part Time, 5% Temporary, 24% Contract, and 5% Nights. Highlights an 10% Physical, and 90% Remote job distribution, with an average salary of $80,500 per year, or $38.7 per hour.

Software Engineer - Backend

Piramidal, Inc.

New York, NY • On-site

Full-time

Posted 11 days ago

Job description

Piramidal is looking for a backend engineer to help build and scale the infrastructure behind our real time neural monitoring platform. You'll work on hard problems: high throughput streaming, real time analytics, and clinical grade reliability.

In this role you will
  • Build and maintain reliable services that operate on real time streams of neurological data
  • Work on data modeling, ingestion pipelines, and data lifecycle management
  • Develop and extend backend APIs that power clinical workflows
  • Work with machine learning engineers to develop and maintain model pipelines
Your background looks something like
  • 5+ years of backend engineering
  • Strong experience with stream processing or event-driven architectures
  • Proficiency with Python
  • Proficiency with containerization and orchestration
  • Experience with relational databases
  • Ability to move fast and independently
Nice to have
  • Experience with data engineering and warehousing at scale
  • Familiarity with Apache Arrow, Parquet, or columnar data formats
  • Experience with real time systems where sub second latency matters
About Us

We are building a first-of-its-kind foundation model for electrophysiological brain data. Our goal is to create scaled neural decoders that enable humans to understand and control neural syntax. Our flagship product brings a state of the art seizure detection model into real time clinical workflows, helping clinicians detect and respond to seizures faster.